Levy Subordinator Model of Default Dependency

The article presents a model of default dependency based on Levy subordinator. It is a tractable one-factor model with an architecture similar to that of the standard Gaussian copula model, providing easy calibration to individual hazard rate curves and efficient pricing with Fast Fourier Transform techniques. The subordinator is a stable Levy process with a probability distribution function known as the Levy distribution. The model provides a reasonable fit to market data with two parameters necessary to assess dependency risk, a measure of correlation and a measure of catastrophe.